📊 Character & Word Frequency Counter

Analyze text to find the most common characters, words, and patterns

Version 2.1.0 - Updated September 2025
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Paste or type the text you want to analyze. The tool will count characters, words, and their frequencies.
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Choose what to analyze - character frequency, word frequency, or both. Each provides different insights about your text.
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These options help customize the analysis to focus on specific aspects of your text.
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Limit the number of results displayed. Higher values show more detailed analysis but may be harder to read.

Embed This Tool

Want to embed this frequency counter on your website? Use this code:

<iframe src="https://yoursite.com/frequency-counter" width="100%" height="600" frameborder="0"></iframe>

🎯 Frequency Analysis Examples

✅ Character Frequency Analysis

Analyzing letter distribution in a sentence:

Text: "The quick brown fox jumps over the lazy dog." Results: e: 3 occurrences (10.3%) o: 3 occurrences (10.3%) t: 2 occurrences (6.9%) h: 2 occurrences (6.9%)

Insight: E and O are the most common letters in this pangram.

✅ Word Frequency Analysis

Finding most common words in a paragraph:

Text: "The cat sat on the mat. The dog sat on the log." Results: the: 4 occurrences (26.7%) sat: 2 occurrences (13.3%) on: 2 occurrences (13.3%) cat: 1 occurrence (6.7%)

Insight: "The" is the most frequent word, common in English.

✅ Language Identification

Using character frequency to identify language:

English: E, T, A, O, I, N, S, H, R, D French: E, A, S, I, T, N, R, U, L, O German: E, N, I, S, R, A, T, D, H, U

Application: Each language has a unique character frequency pattern.

✅ Cryptanalysis

Using frequency analysis to break simple ciphers:

Ciphertext: "Uifsf jt b tfdsfu nfttbhf" Analysis shows 'f' is most common (like 'e' in English) Decryption reveals: "There is a secret message"

Method: Compare ciphertext frequencies with known language patterns.

Real-World Applications

🔍 Text Analysis

Identify writing style, author attribution, or text genre through word and character patterns.

🔐 Cryptography

Break substitution ciphers by matching frequency patterns with known language distributions.

📚 Linguistics

Study language characteristics, compare texts, or identify language families.

📊 SEO Optimization

Analyze keyword density and content structure for search engine optimization.

📚 Frequency Analysis Tutorials

📊

Understanding Frequency Analysis

Learn the fundamentals of character and word frequency analysis and how to interpret the results.

Read Tutorial →
🔍

Advanced Text Analysis Techniques

Explore advanced methods for analyzing text patterns, including n-grams and statistical analysis.

Read Tutorial →
🔐

Cryptanalysis with Frequency Analysis

How to use frequency analysis to break classical ciphers and understand basic cryptanalysis.

Read Tutorial →
🌍

Language Identification Methods

Techniques for identifying languages through character frequency patterns and other linguistic features.

Read Tutorial →
📝

Author Attribution through Stylometry

How frequency analysis and other text features can help identify authors of anonymous texts.

Read Tutorial →
📈

Data Visualization for Text Analysis

Creating effective visualizations to represent frequency data and text patterns.

Read Tutorial →

⚖️ Frequency Analysis Tools Comparison

Compare our free frequency counter with other popular text analysis tools and services:

Feature Our Tool Online Tool A Desktop App B Programming Library
Free to Use ✅ ✅ (with ads) ❌ (Premium) ✅
No Registration Required ✅ ❌ ✅ ✅
Character Frequency ✅ ✅ ✅ ✅
Word Frequency ✅ ✅ ✅ ✅
Ignore Case Option ✅ ✅ ✅ ✅
Ignore Punctuation ✅ ✅ ✅ ✅
Ignore Common Words ✅ ❌ ✅ ✅
Visual Charts ✅ ❌ ✅ ✅
Export Results ✅ ✅ ✅ ✅
Mobile Friendly ✅ ✅ ❌ ✅

Why Choose Our Frequency Counter?

🔒 Complete Privacy

All text analysis happens in your browser. Your text never leaves your device, ensuring maximum privacy.

🎛️ Comprehensive Analysis

Get both character and word frequency analysis with customizable options for precise results.

📊 Visual Representation

Clear tables and visual indicators help you quickly understand frequency patterns in your text.

🎓 Educational Content

Not just a tool - includes comprehensive guides, examples, and applications of frequency analysis.

📝 Version History & Changelog

Version 2.1.0 - Latest

September 15, 2025
  • 🎉 Added ignore common words option
  • 📊 Enhanced visual representation with frequency bars
  • 📱 Improved mobile responsiveness and touch interactions
  • 🔧 Added embed code functionality for easy integration
  • 📚 Expanded educational content and examples
  • 🎨 Updated UI with better accessibility and contrast

Version 2.0.0

August 20, 2025
  • 🔄 Complete UI redesign with modern styling
  • 📚 Added comprehensive tutorial section
  • 📝 Introduced tabbed navigation for better organization
  • ⚖️ Added tool comparison feature
  • 💾 Implemented download functionality for results
  • 📋 Enhanced copy functionality with better feedback

Version 1.2.0

July 10, 2025
  • ✅ Added statistical summary cards
  • 🛡️ Improved analysis algorithms for better accuracy
  • 📖 Added real-world examples and case studies
  • 🐛 Fixed analysis issues with special characters
  • ♿ Enhanced accessibility with ARIA labels

Version 1.1.0

June 5, 2025
  • 🎨 Improved visual design with gradient backgrounds
  • 📱 Added responsive design for mobile devices
  • ⚠️ Added warnings for very long text inputs
  • 📋 Implemented one-click copy functionality
  • 🔧 Fixed layout issues on smaller screens

Version 1.0.0

May 15, 2025
  • 🎉 Initial release of Frequency Counter
  • 🔍 Support for character and word frequency analysis
  • ⚡ Client-side processing for maximum privacy
  • 📚 Comprehensive documentation and examples
  • ✨ Clean, modern user interface

🔮 Upcoming Features

📋 Planned for Next Release:

  • N-gram analysis (bigrams, trigrams)
  • Language detection based on frequency patterns
  • Sentiment analysis integration
  • Comparative analysis between multiple texts
  • Dark/Light theme toggle
  • Keyboard shortcuts for power users
  • Real-time analysis as you type

What Is Frequency Analysis?

Frequency analysis is the study of how often different elements (characters, words, or other units) appear in a text. This technique is widely used in linguistics, cryptography, data analysis, and many other fields to identify patterns and extract meaningful information from text.

🟢 Applications of Frequency Analysis

✅ Common Uses:

  • Cryptanalysis: Breaking substitution ciphers by matching frequency patterns
  • Linguistics: Studying language characteristics and comparing texts
  • Author Attribution: Identifying authors through writing style patterns
  • SEO Optimization: Analyzing keyword density and content structure
  • Text Compression: Optimizing compression algorithms based on frequency
  • Language Learning: Identifying important vocabulary in a text

🔴 Common Analysis Mistakes

❌ What to Avoid:

  • Ignoring context when interpreting frequency results
  • Not considering text length when comparing frequencies
  • Overlooking punctuation and case sensitivity
  • Drawing conclusions from too small sample sizes
  • Assuming frequency patterns apply universally across all texts
  • Not accounting for domain-specific terminology

Frequency Analysis Features

🔍 Character Frequency

Count how often each character appears in the text, useful for cryptography and language studies.

📝 Word Frequency

Identify the most common words, helpful for content analysis and SEO optimization.

📊 Statistical Summary

Get overview statistics like total characters, words, and unique elements in your text.

🎛️ Customizable Options

Adjust analysis parameters to focus on specific aspects of your text.

How Our Frequency Counter Works

Our frequency analysis tool processes your text through several steps:

  1. Text Preparation: Your input text is processed based on your selected options
  2. Tokenization: The text is broken down into characters or words
  3. Frequency Counting: Each element is counted and sorted by frequency
  4. Percentage Calculation: Frequencies are converted to percentages of the total
  5. Visualization: Results are presented in clear tables with visual indicators
  6. Summary Generation: Overall statistics are calculated and displayed

Frequency Analysis Best Practices

📊 Recommended Analysis Tools

Enhance your text analysis workflow with these trusted tools and resources:

Voyant Tools

Text Analysis Suite

AntConc

Corpus Analysis Toolkit

WordStat

Content Analysis Software

LIWC

Linguistic Inquiry Tool

NVivo

Qualitative Data Analysis